Hi Chetan,
On Sun, Nov 17, 2013 at 5:42 PM, Chetan Surpur <[email protected]> wrote: > Yes, this is what I would suggest as well. I believe the OPF CLA model > already offers multiple possible inferences with a probability on each one. > I think it does. (btw, do you know how exactly to call it? or some doc? What we see now are values for multistep inference, but I need multiinference (one step) ) But I'm lazy, I want it to return the 'prediction' (which is field for "best" prediction) according to the probability distribution. If it doesn't do that, we should add it. > > Another thing you could try to make it work even better is, instead of > resetting the sequence as soon as you see a sentence terminating symbol, > set a timer to reset after seeing n more characters. > This is very good idea! "..so they sailed to the sea.<TERMINATOR> The next morn<RESET>" After the reset, should I backtrack to the terminator and re-feed the "The next morn.." again? > Then, your model will understand what comes after each type of sentence > terminator, and since it will include context about the characters near the > end of the sentence, the next sentence prediction won't be the same every > time. > > -- Marek Otahal :o)
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